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Rendex: Rendering API for Images, PDFs & Content Extraction

Update Watch

watch_update
Idempotent

Update a watch in place — pause/resume (paused), re-point (url), change schedule/diff/notify settings, or turn a channel off (webhookUrl/notifyEmail = null). Only the fields you send change; renderParams is deep-merged over the existing config. A scope change (url/selector/fullPage/size/device) re-baselines on the next check. Returns the updated watch as JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe watch ID (UUID) to update.
urlNoRe-point to a new URL (clears the baseline; the next check re-baselines).
nameNoRename the watch (null to clear).
pausedNotrue to pause the watch, false to resume.
diffModeNoChange what counts as a change.
aiSummaryNoPro+ — toggle the one-sentence AI 'what changed' summary on each detected change.
thresholdNoChange the visual-change noise floor (0..1).
webhookUrlNoStarter+ — set or replace the change-webhook target; null to turn it off.
notifyEmailNoSet the alert email (your account email only); null to turn it off.
renderParamsNoRender knobs to deep-merge over the existing capture config.
intervalMinutesNoNew check frequency in minutes (subject to your plan's floor).

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations establish readOnly=false, destructive=false, idempotent=true; the description adds meaningful behavioral details beyond that: renderParams deep-merge semantics, scope-change re-baselining, and null values disabling channels. This goes beyond what annotations provide.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three compact sentences; the first sentence front-loads the tool's purpose and key actions, the second clarifies update semantics, the third covers re-baselining and return value. No redundant content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 11-parameter tool with nested objects, the description covers the essential behavioral contract: partial update, merge behavior, re-baselining, and return type. It doesn't enumerate every parameter, but the schema already does; the description adds the higher-level logic needed to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already documents all 11 parameters with 100% coverage. The description adds cross-cutting semantic context that the schema cannot: partial-update behavior ('Only the fields you send change'), deep-merge for renderParams, and the re-baseline trigger for scope-related params. This is a slight but real lift above the schema baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb ('Update') and resource ('a watch'), enumerating concrete update actions (pause/resume, re-point, change settings, turn off channels). This clearly distinguishes it from sibling tools like watch_create and watch_delete.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description establishes it as the in-place modification tool for existing watches, with explicit semantics for partial updates ('Only the fields you send change'). It does not explicitly name alternative tools, but the 'in place' framing and update verb make the usage context unambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose with explicit 'use when' and 'do NOT use' guidance in descriptions. The rendering tools are differentiated by output type (screenshot/PDF, hosted URL, branded artifact, extracted text), and the watch tools follow a patterned CRUD/run/test structure, leaving no ambiguity.

Naming Consistency4/5

Most tools follow a 'prefix_verb' or 'prefix_verb_noun' pattern (e.g., rendex_screenshot, watch_create), but there are minor inconsistencies: 'render_artifact' lacks the 'rendex_' prefix, and 'watch_runs' is a noun rather than a verb. Overall, the names are still predictable and readable.

Tool Count5/5

With 13 tools, the server is well-scoped. It covers two domains—rendering (5 tools) and monitoring (8 tools)—without unnecessary overlap or excessive complexity. Each tool earns its place in the set.

Completeness5/5

The rendering side covers screenshots, PDFs, hosted URLs, branded artifacts, and content extraction. The watch side provides full lifecycle management (create, get, list, update, delete), plus immediate runs, run history, and testing. There are no obvious gaps or dead ends in user workflows.